EP3659116A1 - Method of locating a remotely operated vehicle within a workspace and remote inspection system employing such method - Google Patents
Method of locating a remotely operated vehicle within a workspace and remote inspection system employing such methodInfo
- Publication number
- EP3659116A1 EP3659116A1 EP18837761.8A EP18837761A EP3659116A1 EP 3659116 A1 EP3659116 A1 EP 3659116A1 EP 18837761 A EP18837761 A EP 18837761A EP 3659116 A1 EP3659116 A1 EP 3659116A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- workspace
- remotely operated
- video feed
- location
- operated vehicle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Ceased
Links
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/20—Instruments for performing navigational calculations
- G01C21/206—Instruments for performing navigational calculations specially adapted for indoor navigation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/005—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 with correlation of navigation data from several sources, e.g. map or contour matching
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/20—Instruments for performing navigational calculations
- G01C21/203—Instruments for performing navigational calculations specially adapted for water-borne vessels
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/0011—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots associated with a remote control arrangement
- G05D1/0033—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots associated with a remote control arrangement by having the operator tracking the vehicle either by direct line of sight or via one or more cameras located remotely from the vehicle
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/04—Control of altitude or depth
- G05D1/06—Rate of change of altitude or depth
- G05D1/0692—Rate of change of altitude or depth specially adapted for under-water vehicles
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/20—Control system inputs
- G05D1/24—Arrangements for determining position or orientation
- G05D1/244—Arrangements for determining position or orientation using passive navigation aids external to the vehicle, e.g. markers, reflectors or magnetic means
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/20—Control system inputs
- G05D1/24—Arrangements for determining position or orientation
- G05D1/247—Arrangements for determining position or orientation using signals provided by artificial sources external to the vehicle, e.g. navigation beacons
- G05D1/249—Arrangements for determining position or orientation using signals provided by artificial sources external to the vehicle, e.g. navigation beacons from positioning sensors located off-board the vehicle, e.g. from cameras
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/40—Control within particular dimensions
- G05D1/46—Control of position or course in three dimensions [3D]
- G05D1/467—Control of position or course in three dimensions [3D] for movement inside a confined volume, e.g. indoor flying
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/60—Intended control result
- G05D1/656—Interaction with payloads or external entities
- G05D1/678—Interaction with payloads or external entities for tethered vehicles
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
- G06T7/75—Determining position or orientation of objects or cameras using feature-based methods involving models
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/80—Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
-
- G—PHYSICS
- G21—NUCLEAR PHYSICS; NUCLEAR ENGINEERING
- G21C—NUCLEAR REACTORS
- G21C17/00—Monitoring; Testing ; Maintaining
- G21C17/003—Remote inspection of vessels, e.g. pressure vessels
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D2105/00—Specific applications of the controlled vehicles
- G05D2105/80—Specific applications of the controlled vehicles for information gathering, e.g. for academic research
- G05D2105/89—Specific applications of the controlled vehicles for information gathering, e.g. for academic research for inspecting structures, e.g. wind mills, bridges, buildings or vehicles
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D2107/00—Specific environments of the controlled vehicles
- G05D2107/70—Industrial sites, e.g. warehouses or factories
- G05D2107/75—Electric power generation plants
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D2109/00—Types of controlled vehicles
- G05D2109/30—Water vehicles
- G05D2109/38—Water vehicles operating under the water surface, e.g. submarines
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D2111/00—Details of signals used for control of position, course, altitude or attitude of land, water, air or space vehicles
- G05D2111/10—Optical signals
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30204—Marker
- G06T2207/30208—Marker matrix
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30244—Camera pose
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30248—Vehicle exterior or interior
- G06T2207/30252—Vehicle exterior; Vicinity of vehicle
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E30/00—Energy generation of nuclear origin
- Y02E30/30—Nuclear fission reactors
Definitions
- the present invention is directed to methods of locating a remotely operated vehicle within a workspace.
- the present invention is also directed to remote inspection systems which employ such methods.
- ROVs Remotely operated vehicles
- tasks e.g., repairs, inspections, etc.
- An example of such use/environment is in inspecting regions within a nuclear reactor vessel which would not only be deadly to a human inspector, but would also destroy many modem electrical components instantly or in a very short period of time.
- a method of locating a remotely operated vehicle within a three-dimensional workspace comprises: receiving a video feed of the workspace from a video camera; processing the video feed to identify landmarks and features of known physical structures in or near the workspace; determining a correlation between the features and landmarks and known physical structures; calibrating the video feed from the camera to the known physical structures using the correlation; determining the location in the calibrated video feed of a number of fiducial markers which are positioned on the remotely operated vehicle; and determining the three-dimensional position of the remotely operated vehicle within the workspace using the location of the number of fiducial markers in the calibrated video feed.
- Determining a correlation between the landmarks and features and known physical structures may comprise constructing a three-dimensional reference framework based on previously known dimensional information of the known physical structures.
- Determining the location in the calibrated video feed of a number of fiducial markers on the remotely operated vehicle may comprise determining the location of at least three distinct fiducial markers.
- Determining the location of at least three distinct fiducial markers may comprise determining the location of at least three spherical elements.
- Determining the location in the calibrated video feed of a number of fiducial markers on the remotely operated vehicle may comprise determining the location of at least two distinct fiducial markers.
- a remote inspection system comprises: a remotely operated vehicle operable within a three-dimensional workspace, the remotely operated vehicle having a number of fiducial markers positioned thereon; a video camera positioned at or about a boundary of the workspace, the video camera positioned and structured to capture images of landmarks and features located in or near the workspace; an electronic storage medium having dimensional details of the landmarks and the features stored therein; and a processing device in electrical communication with both the camera and the electronic storage medium, the processing device programmed to: receive images of the workspace in a video feed from the video camera, process the video feed to identify the features and landmarks, determine a correlation between the features and landmarks and known physical structures, calibrate the video feed from the camera to the known physical structures using the correlation, determine the location in the calibrated video feed of a number of fiducial markers on the remotely operated vehicle, and determine the three- dimensional position of the remotely operated vehicle within the workspace using the location of the number of fiducial markers in the
- the number of fiducial markers may comprise a plurality of spherical elements.
- the spherical elements may be of a high contrast color.
- the workspace may comprises an interior of a nuclear reactor vessel.
- the video camera may be positioned at or about an upper portion of the workspace.
- the electronic storage medium and the processing device may comprise elements of a computing device.
- the computing device may comprise a desktop or laptop computer.
- the computing device may comprise a handheld computing device.
- Figure 1 shows a schematic view of a remote inspection system in accordance with an example embodiment of the present invention
- Figure 2 shows an example screenshot in accordance with an example embodiment of the present invention of a video feed from a camera of a remote inspection system such as shown in Figure 1;
- Figure 3 shows the general steps of a method of locating a remotely operated vehicle within a workspace in accordance with an example embodiment of the present invention.
- Remote inspection system 10 includes a remotely operated vehicle (ROV) 14 which is operable within a three-dimensional workspace (e.g., the water-filled interior of reactor vessel 12) as shown generally at 16.
- ROV remotely operated vehicle
- workspace shall be used to refer to the three-dimensional space in which an ROV may be operated.
- ROV 14 is a remotely operated submersible vehicle which is tethered to a remote control system (not shown) via an umbilical 18, which includes a number of communications cables for the transmission of data/control signals to ROV 14 and data/video images from ROV 14. It is to be appreciated that other ROVs (e.g., without limitation flying drones), wired or wirelessly operable, may be employed without varying from the scope of the present invention.
- ROVs e.g., without limitation flying drones
- wired or wirelessly operable may be employed without varying from the scope of the present invention.
- ROV 14 includes a number of fiducial markers 20 positioned thereon (three of which are illustrated in the embodiment of Figure 1).
- the position and relative spacing (e.g., di and d2 of Figure 2) of fiducial markers 20 is predetermined such that fiducial markers 20 may be used to determine one or more of the orientation and/or angle of ROV 14.
- spherical elements approximately the size of a golf ball have been utilized. It is to be appreciated that such spherical objects remain the shape/size regardless of viewing angle (when distance is kept constant).
- markers are preferably of a high contrast color (e.g., without limitation, fluorescent orange).
- other quantities and or shapes (e.g., without limitation, disk, partial sphere) of fiducial markers may be employed without varying from the scope of the present invention.
- remote inspection system 10 further includes a video camera 22 in electrical communication with a processing device 24 and a suitable electronic storage medium 26 which may be integral with, or separate from, processing device 24.
- Video camera 22 is positioned at or about a boundary of workspace 16 and is positioned and structured to provide a video feed, via wired or wireless means, of images of workspace 16, including ROV 14 disposed therein along with landmarks (e.g., wall 30, floor 34) and features of such landmarks (e.g., vertical joints 32 of wall 30 and apertures 36 of floor 34), located in or near workspace 16.
- Figure 2 shows an example of an image 28 from a video feed captured by camera 22 in accordance of an example embodiment of the present invention.
- video camera 22 is positioned at or about an upper portion of workspace 16 and is structured to be able to pan and zoom upon request, however, it is to be appreciated that other cameras with other functionality, and positioning may be employed without varying from the scope of the present invention.
- Processing device 24 may be any suitable programmable analog and/or digital device (including an associated memory part or portion) that can store, retrieve, execute and process data (e.g., software routines and/or information used by such routines), including, without limitation, a computer, a field programmable gate array (FPGA), a complex programmable logic device (CPLD), a programmable system on a chip (PSOC), an application specific integrated circuit (ASIC), a microprocessor, a microcontroller, a programmable logic controller, or any other suitable processing device or apparatus.
- FPGA field programmable gate array
- CPLD complex programmable logic device
- PSOC programmable system on a chip
- ASIC application specific integrated circuit
- Electronic storage medium 26 can be any one or more of a variety of types of internal and/or external storage media such as, without limitation, RAM, ROM, EPROM(s), EEPROM(s), FLASH, and the like that provide a storage register, i.e., a non-transitory machine readable medium, for data and program code storage such as in the fashion of an internal storage area of a computer, and can be volatile memory or nonvolatile memory.
- Electronic storage medium 26 includes dimensional details of the landmarks and the features stored therein (e.g., distance between vertical joints 32, diameter of apertures 36, spacing between apertures 36, etc.).
- Electronic storage medium 26 may be integral with processing unit 24.
- processing device 24 and electronic storage medium 26 comprise elements of a computing device such as, without limitation, a desktop or laptop computer, or a handheld computing device (e.g., without limitation a tablet computer or a smartphone).
- Method 100 begins at step 102 where a video feed of workspace 16 is received from video camera 22.
- step 104 the video feed is processed to identify landmarks 30, 34 and features 32, 36 thereof in or near workspace 16.
- step 104 After the landmarks and features in or near the workspace have been identified in step 104, dimensional data of such known physical structures which was stored in advance of such time in electronic storage medium 26 is used to determine a correlation between the landmarks and features identified in the video feed and known physical structures, such as shown in step 106.
- a correlation is determined by constructing a three-dimensional reference framework based on the previously known dimensional information of the known physical structures and how those structures appear in the video feed.
- the correlation is then used in step 108 to calibrate the video feed from video camera 22 to the known physical structures.
- step 110 the three-dimensional location in the calibrated video feed of the number of fiducial markers 20 on ROV 14, is determined in step 110.
- step 1 12 the position of ROV 14 within workspace 16, as well as the orientation/tilt thereof, is determined using the location of the number of fiducial markers 20 in the calibrated video feed.
- determination of the ROV's x,y,z position and yaw is desired to adequately identify working position. These parameters can be uniquely determined with as few as 3 markers being visible simultaneously. Alternatively, if prior state information can be used to designate ROV's "front" end, only two markers visible may be adequate.
Landscapes
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Aviation & Aerospace Engineering (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Plasma & Fusion (AREA)
- General Engineering & Computer Science (AREA)
- High Energy & Nuclear Physics (AREA)
- Monitoring And Testing Of Nuclear Reactors (AREA)
- Length Measuring Devices By Optical Means (AREA)
- Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
- Image Analysis (AREA)
- Multimedia (AREA)
- Electromagnetism (AREA)
Abstract
L'invention concerne un procédé (100) de localisation d'un véhicule télécommandé (14) dans un espace de travail tridimensionnel (16) qui comprend les étapes consistant à : recevoir (102) un flux vidéo de l'espace de travail à partir d'une caméra vidéo (22); traiter (104) le flux vidéo pour identifier des points de repère (30, 34) et des caractéristiques (32, 36) de structures physiques connues dans l'espace de travail ou à proximité de celui-ci ; déterminer (106) une corrélation entre les caractéristiques et les points de repère et les structures physiques connues ; étalonner (108) le flux vidéo provenant de la caméra vers les structures physiques connues à l'aide de la corrélation ; déterminer (110) l'emplacement dans le flux vidéo étalonné d'un certain nombre de marqueurs de repère (20) sur le véhicule télécommandé ; et déterminer (112) la position du véhicule télécommandé dans l'espace de travail à l'aide de l'emplacement du nombre de marqueurs de référence dans le flux vidéo étalonné.A method (100) for locating a remotely operated vehicle (14) in a three-dimensional workspace (16) includes the steps of: receiving (102) a video stream of the workspace from a video camera (22); processing (104) the video stream to identify landmarks (30, 34) and features (32, 36) of known physical structures in or near the workspace; determining (106) a correlation between features and landmarks and known physical structures; calibrating (108) the video stream from the camera to the known physical structures using the correlation; determining (110) the location in the calibrated video stream of a number of markers (20) on the remotely operated vehicle; and determining (112) the position of the remotely operated vehicle in the workspace using the location of the number of reference markers in the calibrated video stream.
Description
Claims
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP24210701.9A EP4524679A1 (en) | 2017-07-27 | 2018-07-26 | Method of locating a remotely operated vehicle within a workspace and remote inspection system employing such method |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201762537571P | 2017-07-27 | 2017-07-27 | |
| PCT/US2018/043814 WO2019023416A1 (en) | 2017-07-27 | 2018-07-26 | Method of locating a remotely operated vehicle within a workspace and remote inspection system employing such method |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP24210701.9A Division EP4524679A1 (en) | 2017-07-27 | 2018-07-26 | Method of locating a remotely operated vehicle within a workspace and remote inspection system employing such method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| EP3659116A1 true EP3659116A1 (en) | 2020-06-03 |
| EP3659116A4 EP3659116A4 (en) | 2021-04-28 |
Family
ID=65037759
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP24210701.9A Pending EP4524679A1 (en) | 2017-07-27 | 2018-07-26 | Method of locating a remotely operated vehicle within a workspace and remote inspection system employing such method |
| EP18837761.8A Ceased EP3659116A4 (en) | 2017-07-27 | 2018-07-26 | PROCESS FOR LOCATING A REMOTE-CONTROLLED VEHICLE IN A WORKSPACE AND REMOTE INSPECTION SYSTEM USING SUCH A PROCESS |
Family Applications Before (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP24210701.9A Pending EP4524679A1 (en) | 2017-07-27 | 2018-07-26 | Method of locating a remotely operated vehicle within a workspace and remote inspection system employing such method |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US11460304B2 (en) |
| EP (2) | EP4524679A1 (en) |
| JP (1) | JP7346308B2 (en) |
| KR (1) | KR102599392B1 (en) |
| CN (1) | CN111052188B (en) |
| WO (1) | WO2019023416A1 (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019023416A1 (en) | 2017-07-27 | 2019-01-31 | Westinghouse Electric Company Llc | Method of locating a remotely operated vehicle within a workspace and remote inspection system employing such method |
| US11608148B2 (en) | 2019-04-05 | 2023-03-21 | Fmc Technologies, Inc. | Submersible remote operated vehicle tool change control |
| US11361869B2 (en) * | 2019-08-13 | 2022-06-14 | Westinghouse Electric Company Llc | System and method enabling signals from replacement self-powered neutron detectors to be used to generate inputs to legacy software |
| CN115295184B (en) * | 2022-07-05 | 2025-07-25 | 苏州热工研究院有限公司 | Nuclear power plant pool inspection method and system |
| US11807349B1 (en) * | 2022-09-16 | 2023-11-07 | Fmc Technologies, Inc. | Submersible remote operated vehicle vision assistance and control |
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| WO2019023416A1 (en) | 2019-01-31 |
| JP2020528999A (en) | 2020-10-01 |
| KR102599392B1 (en) | 2023-11-06 |
| JP7346308B2 (en) | 2023-09-19 |
| KR20200024335A (en) | 2020-03-06 |
| EP3659116A4 (en) | 2021-04-28 |
| US11460304B2 (en) | 2022-10-04 |
| CN111052188A (en) | 2020-04-21 |
| EP4524679A1 (en) | 2025-03-19 |
| US20190033080A1 (en) | 2019-01-31 |
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